398 Open source projects that are alternatives of or similar to videoDCGAN

Improving MMD-GAN training with repulsive loss function

Implementation of Conditional Generative Adversarial Networks in PyTorch

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

PyTorch study

A sketch extractor for anime/illustration.

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

🐳 GAN implemented as Tensorflow 2.X

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

My pytorch implementation for GAN

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

Generate image from text with Generative Adversarial Network

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

No description or website provided.

Generative Adversarial Networks in TensorFlow 2.0

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

Benchmarking synthetic data generation methods.

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

Pure tensorflow implementation of progressive growing of GANs

3D-aware GANs based on NeRF (arXiv).

Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.

Tensorflow Implementation of DiscoGAN

No description or website provided.

Designed to take you from zero experience to GANs within a week.

Repository for MAD-GAN Paper done in ML CAMP Jeju

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

Synthetic Data Generation for mixed-type, multivariate time series.

SMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

Paper notes in deep learning/machine learning and computer vision

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

Path Planning using Generative Adversarial Network (GAN)

No description or website provided.

CycleGAN based neural network architecture to change the gender of a person’s face

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

🤖A list of resources to help anyone getting started with GANs 🤖

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

Tensorflow-based framework to ease training of generative models

Tensorflow implementation of paper "unsupervised image to image translation networks"